Generate one ramdom sample from the posterior distribution of a "GaussianInvWishart" object

Description

Generate random samples from the posterior distribution of the following structure:

x \sim Gaussian(mu,Sigma)

Sigma \sim InvWishart(v,S)

mu is known. Gaussian() is the Gaussian distribution. See ?dGaussian and ?dInvWishart for the definition of the distributions.
The model structure and prior parameters are stored in a "GaussianInvWishart" object.
Posterior distribution is InvWishart(Sigma|v,S).

Usage

## S3 method for class 'GaussianInvWishart'
rPosterior(obj, ...)

Arguments

Value

matrix, a sample of Sigma.

See Also

GaussianInvWishart, dPosterior.GaussianInvWishart

Examples

obj <- GaussianInvWishart(gamma=list(mu=c(-1.5,1.5),v=3,S=diag(2)))
rPosterior(obj = obj)